# tf.tile(input, multiples, name=None)

### tf.tile(input, multiples, name=None)

See the guide: Tensor Transformations > Slicing and Joining

Constructs a tensor by tiling a given tensor.

This operation creates a new tensor by replicating input multiples times. The output tensor's i'th dimension has input.dims(i) * multiples[i] elements, and the values of input are replicated multiples[i] times along the 'i'th dimension. For example, tiling [a b c d] by [2] produces [a b c d a b c d].

#### Args:

• input: A Tensor. 1-D or higher.
• multiples: A Tensor. Must be one of the following types: int32, int64. 1-D. Length must be the same as the number of dimensions in input
• name: A name for the operation (optional).

#### Returns:

A Tensor. Has the same type as input.

Defined in tensorflow/python/ops/gen_array_ops.py.